Adaptive Signal Detection and Other Topics in Real Time Signal Processing.

Abstract

Communications receivers are commonly optimized with respect to a stationary interference source. When the interference originates in a composite source, the optimal receiver may be represented as a collection of generically similar subreceivers each one of which is optimized with respect to one of the interference subsources. Selection of the correct subreceiver is conditioned on identifying the subsource that is interfering at a given time. This selection process is controlled by a statistical demultiplexer, In the absence of real communications, when the statistical demultiplexer operates on uncorrelated noise, its function is to estimate the present state of a spectrally white, non-Gaussian, nonstationary random process. To evaluate the performance of the statistical demultiplexer, it is necessary to assert that the state of the observed process is itself a stationary (unobservable) process. Consideration is given to the case in which the unobservable is Markov. When the receiver is an isolated system that draws power from a limited reservior of energy, and messages arrive only sporadically, the statistical demultiplexer in its simplest form detects the mere presence of the message and control a switch in the power line to the main receiver subsystem. The alertness strategy embodied in this scheme can greatly extend the life-time of the system under conditions that are considered in some detail.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1984
Accession Number
ADA154139

Entities

People

  • R. H. Baran

Organizations

  • Naval Ordnance Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Detection
  • Energy Consumption
  • Engineering
  • Information Science
  • Information Theory
  • Random Variables
  • Sampling
  • Signal Detection
  • Signal Processing
  • Statistical Algorithms
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

Readers

  • Mathematical Modeling and Probability Theory.
  • Radio communications and signal processing.
  • Statistical inference.